Methodology article
Discovering semantic features in the literature: a foundation for building functional associations
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* Corresponding author: Monica Chagoyen monica.chagoyen@cnb.uam.es
1 Biocomputing Unit, Centro Nacional de Biotecnologia – CSIC, Madrid, Spain
2 School of Computing, Queen's University, Kingston, Ontario, Canada
3 Dpto. Arquitectura de Computadores, Universidad Complutense de Madrid, Madrid, Spain
BMC Bioinformatics 2006, 7:41 doi:10.1186/1471-2105-7-41
Published: 26 January 2006Additional files
Additional File 1:
Cophenetic correlation coefficient. This file contains three graphs showing the cophenetic correlation coefficient for the SGD8, Reelin and random datasets.
Format: PDF Size: 577KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional File 2:
Clustering results. This file contains two spreadsheets with the results of the clustering performed on the semantic profiles (also included after z-score normalization) obtained for the SGD8 and Reelin datasets.
Format: XLS Size: 1.1MB Download file
This file can be viewed with: Microsoft Excel Viewer
Additional File 4:
Reelin dataset analysis by SVD and NMF. Descriptive comparison of the results obtained by clustering of gene profiles obtained by SVD and NMF algorithms. Includes hierarchical trees.
Format: PDF Size: 24KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional File 3:
Example representation of literature profiles. This file contains the representation of a literature profile for gene PET54 as obtained in the vector space model, a clustered space and the semantic space.
Format: PDF Size: 31KB Download file
This file can be viewed with: Adobe Acrobat Reader